Understanding Bias in Data Science: Causes and Consequences

In the realm of data science, the presence of bias can significantly impact the outcomes of analyses and decisions, leading to skewed results that may perpetuate inequality and injustice. Understanding the causes of bias and its far-reaching consequences is crucial for data scientists and organizations alike.